Paper (movie-Gattaca)

INFO I101 Introduction to Informatics and Computing

Problem Solving

INDIANA UNIVERSITY BLOOMINGTON

INFO I101

Communication

Course Instructors [email protected]

Lab Instructors [email protected] Always include your Lab Section Number in the subject line! Write professionally.

Do not email our personal emails! Do not use Canvas Messenger!

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Office Hours

Checkout the course website for information on office hours with the course instructors.

Logan: IW 307A Nina: Undergrad Annex No appointments necessary!

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Study Sessions

MTWR, 7-8 PM

Informatics West Lobby No appointments necessary!

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Lab Checks (Exams) Lab Check 1 (HTML/CSS) Week 04 Lab 02

Lab Check 2 (Python) Week 07 Lab 02

Lab Check 3 (JavaScript) Week 10 Lab 02

Lab Check 4 (Database) Week 13 Lab 02

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Duo

Not being able to login via Duo is not a reason for a makeup exam. Make sure your phone is charged or you have an alternative method for authentication.

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ICE Sheets • Form a group of 4-5. (Not 3, not 6.)

• Send one representative up to get an ICE Sheet.

• Each member should fill in their own name, username, and initials.

• Select the Lecture Day/Time and write in the Lecture Title.

Low (or no) effort on ICE activities can result in no attendance.

INFO I101 Introduction to Informatics and Computing

Problem Solving

INDIANA UNIVERSITY BLOOMINGTON

INFO I101

Problem Solving

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Structured vs. Unstructured

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ICE 1 • Without looking it up, as a group define

the following and come up with an example of each:

• Algorithm

• Heuristic

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Algorithm • “A process or set of rules to be followed in

calculations or other problem-solving operations, especially by a computer.”

• A structured way or doing something

• Does not change

• Tried and true

• BUT…

• Doesn’t always work

• Don’t provide a good ”enough” answer

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Algorithm • Cooking

• Sending an email

• “Does it spark joy?”-ing your house

• Finding all the “Dave Smith”’s in a database

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Heuristic • “Proceeding to a solution by trial and error or by

rules that are only loosely defined”

• A general way of doing things

• Sometimes as a result of other methods not working

• Sometimes based on gut feelings or prior experience

• BUT…

• Sometimes leads to mistakes

• Don’t lead to a good “enough” answer

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Heuristic • ALL OF THE DUCT TAPE

• Game strategy

• How much sugar to put in your coffee

• How to write a lecture that will be engaging

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“Traditional Process”

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“Modified Process”

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General Process

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1. Document EVERYTHING

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2. Identify

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3. Analyze

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4. Formulate

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5. Evalute

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ICE 2 • The Paradox of Choice is when there

are too many ”good” or “appropriate” answers to a question

• As a group discuss and record how you make decisions when faced with the Paradox of Choice?

• Choosing a cereal?

• Choosing a college or job?

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6. Test

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7. Iterate (rinse & repeat if necessary)

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8. Create a Plan

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9. Implement

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10. Reflect & Revisit

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Problem Solving: Three Parts…

ID the Problem Thinking Solutions

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PART 1.1: Identify the problem

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PART 1.2: Identify the Nature of the Problem

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Wicked Problems

A wicked problem is a problem that is difficult or impossible to solve because of incomplete, contradictory, and changing requirements that are often difficult to recognize

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Tame Problems

A tame problem has definite solution(s), that can be evaluated, and while it may be complex, does not change, is defined, and stable.

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ICE 3 • As a group discuss and record the

following:

• How do you solve problems?

• Math questions?

• Essay questions?

• What to wear that day?

• What to eat that day?

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PART 2: Thinking (Analyze)

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Critical Thinking

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Design Thinking

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Implementation Thinking

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Conceptual Thinking

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Innovative Thinking

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Intuitive Thinking

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Computational Thinking

INDIANA UNIVERSITY BLOOMINGTON INFO I101

What is Computational Thinking?

SECTION TITLE GOES HERE IF NECESSARY

“Computational thinking is a way humans solve problems; it is not trying to get humans to think like computers.

Computers are dull and boring; humans are clever and imaginative.

Equipped with computing devices, we use our cleverness to tackle problems we would not dare take on before the age of computing and build systems with functionality limited only by our imaginations”

Jeannette M. Wing – Corporate VP of Microsoft Research

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Computational Thinking

Prefetching & Caching

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Computational Thinking

Backtracking

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Computational Thinking

Online Algorithms

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Computational Thinking

Performance Modeling for Multi-Server Systems

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ICE 4 • Life Hacks are… "a strategy or technique

adopted in order to manage one's time and daily activities in a more efficient way."

• As a group discuss and record:

• What was your life hack?

• How did it go?

• What was the “problem”?

• What was the “solution”

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PART 3: Solutions

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Cognitive Biases Ways that we think that mess up our decision making…

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Cognitive Biases Ways that we think that mess up our decision making…

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Cognitive Biases Ways that we think that mess up our decision making…

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Cognitive Biases Ways that we think that mess up our decision making…

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Cognitive Biases Ways that we think that mess up our decision making…

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ICE 5 • As a group discuss and record a

DIFFERENT real-life example of each type of bias:

• Bandwagon effect

• Outcome bias

• Recency

• Stereotyping

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Problem Solving: Three parts…

ID the Problem Thinking Solutions

Check Canvas & the Course Website for upcoming assignments and other information!

1. Bring your ICE Sheet to the front and set it on the pile.

2. Scan your CrimsonCard for attendance.

On your way out…